Publication
Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis
Conference Article
Conference
IFAC Conference on Nonlinear Model Predictive Control (NMPC)
Edition
6th
Pages
259-264
Doc link
https://doi.org/10.1016/j.ifacol.2018.11.023
File
Authors
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Darure, Tejaswinee
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Puig Cayuela, Vicenç
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Yamé, Joseph
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Hamelin, Frédéric
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Wang, Ye
Abstract
This paper proposes a distributed model predictive control strategy for a HVAC system that relies on its decomposition into subsystems based on the sensitivity analysis. An economic model predictive controller is implemented for every subsystem to optimize the operational cost of the building without compromising the thermal comfort of the occupants. Also, this work demonstrates the coordination strategy between the subsystem controllers using the sensitivity analysis approach. A discussion about the coordination strategy with the convergence property is provided. Finally, the proposed approach is illustrated using the benchmark building that considers the weather of Nancy, France.
Categories
control theory.
Author keywords
VAV type HVAC system; Distributed Mode Predictive Control; Energy Optimization
Scientific reference
T. Darure, V. Puig, J. Yamé, F. Hamelin and Y. Wang. Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis, 6th IFAC Conference on Nonlinear Model Predictive Control, 2018, Madison, Wisconsin, USA, Vol 51:20 of IFAC Papers Online, pp. 259-264, 2018.
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